Support the Data Science & Analytics team in delivering high-quality data and insights to Life Sciences customers
Leverage deep expertise in data science, analytics, and real‑world clinical data
Work with complex business questions using in‑house EMR/EHR data
Perform data preparation, analysis, quality assurance, and maintain analytical tools and pipelines
Create clear, compelling materials to communicate insights from clinical data
Build reproducible analytical workflows and algorithms in Databricks

Bachelor’s / Master’s degree in Data and Analytics, Information Sciences, Healthcare, Statistics, Computer Science or related fields strongly preferred
3+ years of experience of relevant experience
Communication and stakeholder engagement skills
Hands-on experience analyzing large real-world healthcare datasets
At least 2 years of practical experience with Python, PySpark, and SQL in Databricks or similar cloud analytics platforms
Skilled in data wrangling, cleansing, transformation, and preparation for final data lock
Self-starter who delivers high-quality work with minimal supervision
Demonstrates intellectual curiosity and creativity in solving ambiguous analytical challenges

Data Scientist – Real World Oncology

Key skills